£72.66

Springer Business Analytics: Data Science for Business Problems

Sd-mo27

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£76.81 £72.14 £73.16 £74.18 £75.20 £76.22 £77.24 25 January 2026 15 February 2026 08 March 2026 29 March 2026 19 April 2026

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47 days · current 38 days 0 12 24 35 47 £73 £77 Days at Price

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Most common price: £73 (47 days, 55.3%)

Price range: £73 - £77

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Description

Master the essential skills needed to solve complex business challenges through data science. This comprehensive guide from Springer focuses on the three core pillars of effective data analysis: statistical and machine learning techniques, data handling capabilities, and programming proficiency. Designed for practical application, the book moves beyond theory by providing illustrative case studies and real-world examples. Readers can apply learning directly through Python examples implemented in Jupyter notebooks. You will explore vital business topics including demand measurement, forecasting, and predictive modeling. Gain actionable insights into pricing analytics, customer satisfaction assessment, and market and advertising analysis. Whether you are looking to improve data handling or master econometric methods, this volume provides the foundational knowledge required for thorough and effective business problem solving.

Key Features

Covers three core knowledge requirements: statistical and machine learning techniques, data handling, and programming language skills.

Includes practical Python examples used within the context of Jupyter notebooks for hands-on learning.

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Provides deep dives into demand measurement, forecasting, and predictive modeling techniques.

Addresses essential business areas such as pricing analytics and customer satisfaction assessment.

Explores data-driven approaches to market and advertising analysis to solve business problems.

Product Specifications

Colour
Sd-mo27
Size
3' X 6'
Format
paperback
Domain
Amazon UK
Release Date
05 January 2023
Listed Since
21 August 2020

Barcode

No barcode data available

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